Job Description
Are you ready to define the technological landscape of 2026?
Apex Horizon Solutions is seeking a visionary Lead AI Systems Architect to spearhead the next generation of intelligent infrastructure. In this pivotal role, you will architect scalable AI solutions that push the boundaries of what is possible, ensuring our platform remains at the forefront of innovation. You will be responsible for designing the architecture that drives our core products and defining the roadmap for future AI integrations.
Why Join Us?
We are a fast-paced, forward-thinking organization dedicated to building the tools of tomorrow. You will have the autonomy to make high-impact decisions, work with cutting-edge technology, and lead a world-class engineering team.
Responsibilities
- Architectural Leadership: Design and implement high-availability, scalable AI architectures aligned with the 2026 strategic roadmap, focusing on Generative AI and Edge Computing.
- Team Mentorship: Lead a team of senior engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning.
- Technical Strategy: Define the technical vision and translate complex business requirements into robust technical blueprints and system designs.
- Model Optimization: Oversee the full lifecycle of ML models, from data ingestion and training to deployment and monitoring for performance and latency.
- Stakeholder Collaboration: Work closely with product managers, C-suite executives, and external partners to deliver high-value AI solutions.
- Security & Compliance: Ensure all systems adhere to the highest standards of data privacy, security, and regulatory compliance.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
- System Design: Strong understanding of distributed systems, microservices, containerization (Kubernetes/Docker), and message queues.
- Problem Solving: Proven track record of solving complex engineering challenges and scaling systems to millions of users.
- Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.